Instructions to use Devarshi/Brain_Tumor_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devarshi/Brain_Tumor_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Devarshi/Brain_Tumor_Classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Devarshi/Brain_Tumor_Classification") model = AutoModelForImageClassification.from_pretrained("Devarshi/Brain_Tumor_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 100ead49f4738608d0187e180bc9e1526167293c3e5cbb1f4524cf1800c53788
- Size of remote file:
- 110 MB
- SHA256:
- 93f23c6417eb99703422e23955f3610cd653177f40c9ddce7ea190d2b59255b3
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